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DBMS > IBM Db2 Event Store vs. Kingbase vs. Manticore Search vs. Trafodion

System Properties Comparison IBM Db2 Event Store vs. Kingbase vs. Manticore Search vs. Trafodion

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKingbase  Xexclude from comparisonManticore Search  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed Event Store optimized for Internet of Things use casesAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Multi-storage database for search, including full-text search.Transactional SQL-on-Hadoop DBMS
Primary database modelEvent Store
Time Series DBMS
Relational DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Websitewww.ibm.com/­products/­db2-event-storewww.kingbase.com.cnmanticoresearch.comtrafodion.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storemanual.manticoresearch.comtrafodion.apache.org/­documentation.html
DeveloperIBMBeiJing KINGBASE Information technologies inc.Manticore SoftwareApache Software Foundation, originally developed by HP
Initial release2017199920172014
Current release2.0V8.0, August 20216.0, February 20232.3.0, February 2019
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialOpen Source infoGPL version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C and JavaC++C++, Java
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
Windows
FreeBSD
Linux
macOS
Windows
Linux
Data schemeyesyesFixed schemayes
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesCan index from XMLno
Secondary indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeStandard with numerous extensionsSQL-like query languageyes
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesuser defined functionsuser defined functionsJava Stored Procedures
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesSynchronous replication based on Galera libraryyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
IBM Db2 Event StoreKingbaseManticore SearchTrafodion
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